pfriedri/pcdiff-implant
[MICCAI'23] PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation"
This project helps medical professionals streamline the creation of patient-specific cranial implants. It takes 3D scans of a patient's skull defect as input and automatically generates multiple high-quality implant designs. This allows surgeons or clinical engineers to choose the most suitable option, significantly reducing the manual effort in reconstructive surgery planning.
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Use this if you are a surgeon, clinical engineer, or medical device designer who needs to quickly and accurately generate custom cranial implant designs for reconstructive procedures.
Not ideal if you require implant designs for anatomical regions other than the cranium or if you need designs outside of standard medical imaging data formats.
Stars
50
Forks
7
Language
Python
License
MIT
Category
Last pushed
Oct 31, 2023
Commits (30d)
0
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